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人工神经网络是一门高度综合的交叉学科,涉及神经生理科学、数理科学、信息科学和计算机科学等众多领域,在信号处理、模式识别、专家系统等众多领域的应用中获得了引人注目的成果。我们在研究迫击炮弹射击散布预测与评估的过程中,对人工神经网络的预测应用进行了深入研究,提出了最速下降法和共轭梯度法相结合的神经网络算法,解决了散布密集度试验预测与评估问题。
Artificial neural network is a highly integrated and interdisciplinary subject, which involves many fields such as neurophysiology, mathematical science, information science and computer science. It has attracted much attention in many fields such as signal processing, pattern recognition, expert system and so on Results. In the course of studying the prediction and evaluation of the mortar firing distribution, we have carried on the thorough research to the prediction application of the artificial neural network, put forward the neural network algorithm combining the steepest descent method and the conjugate gradient method, has solved the spread density test forecast And assess the problem.